COMO: a pipeline for multi-omics data integration in metabolic modeling and drug discovery.

Bessell, Brandt; Loecker, Josh; Zhao, Zhongyuan; Aghamiri, Sara Sadat; Mohanty, Sabyasachi; Amin, Rada; Helikar, Tomás; Puniya, Bhanwar Lal

Bessell, Brandt; Loecker, Josh; Zhao, Zhongyuan; Aghamiri, Sara Sadat; Mohanty, Sabyasachi; Amin, Rada; Helikar, Tomás; Puniya, Bhanwar Lal.

Afiliação

Bessell B; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.
Loecker J; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.
Zhao Z; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.
Aghamiri SS; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.
Mohanty S; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.
Amin R; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.
Helikar T; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.
Puniya BL; Department of Biochemistry, University of Nebraska-Lincoln, NE, USA.

Brief Bioinform ; 24(6)2023 09 22.

Article em En | MEDLINE | ID: mdl-37930022

Assuntos

Multiômica; Proteômica; Humanos; Software; Bases de Dados Factuais; Descoberta de Drogas

Palavras-chave

autoimmune diseases; computational pipeline; drug discovery; immunometabolism

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Proteômica / Multiômica Limite: Humans Idioma: En Revista: Brief Bioinform Assunto da revista: BIOLOGIA / INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

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